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Hadoop 2.x Administration Cookbook

You're reading from Hadoop 2.x Administration Cookbook

Product type Book

Published in May 2017

Publisher Packt

ISBN-13 9781787126732

Pages 348 pages

Edition 1st Edition

Languages

Concepts

System Administration

Author (1):

Aman Singh

Table of Contents (20) Chapters

Hadoop 2.x Administration Cookbook

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Hadoop Architecture and Deployment

2. Maintaining Hadoop Cluster HDFS

3. Maintaining Hadoop Cluster – YARN and MapReduce

4. High Availability

5. Schedulers

6. Backup and Recovery

7. Data Ingestion and Workflow

8. Performance Tuning

9. HBase Administration

10. Cluster Planning

11. Troubleshooting, Diagnostics, and Best Practices

12. Security

Index

HDFS balancer

In a long-running cluster, there might be unequal distribution of data across Datanodes. This could be due to failures of nodes or the addition of nodes to the cluster.

To make sure that the data is equally distributed across Datanodes, it is important to use Hadoop balancer to redistribute the blocks.

Getting ready

For this recipe, you will again use the same node on which we have already configured Namenode.

All operations will be done by user hadoop.

How to do it...

Log in the nn1.cluster1.com node and change to user hadoop.
Execute the balancer command as shown in the following screenshot:
By default, the balancer threshold is set to 10%, but we can change it, as shown in the following screenshot:

How it works...

The balancer threshold defines the percentage of cluster disk space utilized, compared to the nodes in the cluster. For example, let's say we have 10 Datanodes in the cluster, with each having 100 GB of disk storage totaling to about 1 TB.

So, when we say the threshold is...

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Authors (1)

Aman Singh

Gurmukh Singh is a seasoned technology professional with 14+ years of industry experience in infrastructure design, distributed systems, performance optimization, and networks. He has worked in big data domain for the last 5 years and provides consultancy and training on various technologies. He has worked with companies such as HP, JP Morgan, and Yahoo. He has authored Monitoring Hadoop by Packt Publishing

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